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Volumn 11, Issue 3, 2000, Pages 808-810

Fuzzy auto-associative neural networks for principal component extraction of noisy data

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; CONSTRAINT THEORY; EIGENVALUES AND EIGENFUNCTIONS; FUZZY SETS; MATRIX ALGEBRA; MEMBERSHIP FUNCTIONS; OPTIMIZATION; STATISTICAL METHODS; THEOREM PROVING;

EID: 0034187894     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.846752     Document Type: Article
Times cited : (14)

References (6)
  • 1
    • 0020464111 scopus 로고
    • A simplified neuron model as a principal component analyzer
    • E. Oja, "A simplified neuron model as a principal component analyzer," J. Math. Biol., pp. 267-273, 1982.
    • (1982) J. Math. Biol. , pp. 267-273
    • Oja, E.1
  • 2
    • 0022013023 scopus 로고
    • On stochastic approximation of eigenvectors and eigenvalues of the expectation of a random matrix
    • E. Oja and J. Karhunen, "On stochastic approximation of eigenvectors and eigenvalues of the expectation of a random matrix," J. Math. Anal. Appl., pp. 69-84, 1985.
    • (1985) J. Math. Anal. Appl. , pp. 69-84
    • Oja, E.1    Karhunen, J.2
  • 3
    • 0024220237 scopus 로고
    • Auto association by multilayer perceptrons and singular value decomposition
    • H. Bourland and Y. Kamp, "Auto association by multilayer perceptrons and singular value decomposition," Biol. Cybern., vol. 59, pp. 291-294, 1988.
    • (1988) Biol. Cybern. , vol.59 , pp. 291-294
    • Bourland, H.1    Kamp, Y.2
  • 4
    • 0029184173 scopus 로고
    • Robust principal component analysis by self-organizing rules based on statistical physics approach
    • Jan.
    • L. Xu and A. L. Yuille, "Robust principal component analysis by self-organizing rules based on statistical physics approach," IEEE Trans. Neural Networks, vol. 6, pp. 131-143, Jan. 1995.
    • (1995) IEEE Trans. Neural Networks , vol.6 , pp. 131-143
    • Xu, L.1    Yuille, A.L.2
  • 6
    • 0024883243 scopus 로고
    • Optimal unsupervised learning in a single-layer linear feedforward neural network
    • T. D. Sanger, "Optimal unsupervised learning in a single-layer linear feedforward neural network," Neural Networks, pp. 459-473, 1989.
    • (1989) Neural Networks , pp. 459-473
    • Sanger, T.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.